


import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand




def    a   (							A__							)	-> int:




      '''simple docstring'''

      return EnvironmentCommand()




def    a   (							A__							)	-> int:




      '''simple docstring'''

      return EnvironmentCommand(args.accelerate_config_file							)





class 							lowercase  (						_UpperCAmelCase			):







     @staticmethod
     def 							lowercase__       (						_lowercase :						ArgumentParser      ):
           SCREAMING_SNAKE_CASE__       :  int						     =		parser.add_parser('''env'''      )
           download_parser.set_defaults(func=_lowercase      )
           download_parser.add_argument(
               '''--accelerate-config_file'''   ,   default=_lowercase   ,   help='''The accelerate config file to use for the default values in the launching script.'''   ,   )
           download_parser.set_defaults(func=_lowercase      )







     def __init__(						self :						Any   ,   _lowercase :						int   ,   *_lowercase :						int      ):
           SCREAMING_SNAKE_CASE__       :  Any						     =		accelerate_config_file







     def 							lowercase__       (						self :						List[str]      ):
           SCREAMING_SNAKE_CASE__       :  str						     =		'''not installed'''
           if is_safetensors_available():
                 import safetensors

                 SCREAMING_SNAKE_CASE__       :  int						     =		safetensors.__version__
           elif importlib.util.find_spec('''safetensors'''      ) is not None:
                 import safetensors

                 SCREAMING_SNAKE_CASE__       :  Any						     =		f"""{safetensors.__version__} but is ignored because of PyTorch version too old."""

           SCREAMING_SNAKE_CASE__       :  int						     =		'''not installed'''
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		'''not found'''
           if is_accelerate_available():
                 import accelerate
                 from accelerate.commands.config import default_config_file, load_config_from_file

                 SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		accelerate.__version__
                 # Get the default from the config file.
                 if self._accelerate_config_file is not None or os.path.isfile(_lowercase      ):
                       SCREAMING_SNAKE_CASE__       :  int						     =		load_config_from_file(self._accelerate_config_file      ).to_dict()

                 SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		(
                     '''\n'''.join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]      )
                     if isinstance(_lowercase   ,   _lowercase      )
                     else f"""\t{accelerate_config}"""
                 )

           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		'''not installed'''
           SCREAMING_SNAKE_CASE__       :  int						     =		'''NA'''
           if is_torch_available():
                 import torch

                 SCREAMING_SNAKE_CASE__       :  Tuple						     =		torch.__version__
                 SCREAMING_SNAKE_CASE__       :  int						     =		torch.cuda.is_available()

           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		'''not installed'''
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		'''NA'''
           if is_tf_available():
                 import tensorflow as tf

                 SCREAMING_SNAKE_CASE__       :  int						     =		tf.__version__
                 try:
                       # deprecated in v2.1
                       SCREAMING_SNAKE_CASE__       :  Tuple						     =		tf.test.is_gpu_available()
                 except AttributeError:
                       # returns list of devices, convert to bool
                       SCREAMING_SNAKE_CASE__       :  List[Any]						     =		bool(tf.config.list_physical_devices('''GPU'''      )      )

           SCREAMING_SNAKE_CASE__       :  int						     =		'''not installed'''
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		'''not installed'''
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		'''not installed'''
           SCREAMING_SNAKE_CASE__       :  int						     =		'''NA'''
           if is_flax_available():
                 import flax
                 import jax
                 import jaxlib

                 SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		flax.__version__
                 SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		jax.__version__
                 SCREAMING_SNAKE_CASE__       :  int						     =		jaxlib.__version__
                 SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		jax.lib.xla_bridge.get_backend().platform

           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		{
               '''`transformers` version''': version,
               '''Platform''': platform.platform(),
               '''Python version''': platform.python_version(),
               '''Huggingface_hub version''': huggingface_hub.__version__,
               '''Safetensors version''': f"""{safetensors_version}""",
               '''Accelerate version''': f"""{accelerate_version}""",
               '''Accelerate config''': f"""{accelerate_config_str}""",
               '''PyTorch version (GPU?)''': f"""{pt_version} ({pt_cuda_available})""",
               '''Tensorflow version (GPU?)''': f"""{tf_version} ({tf_cuda_available})""",
               '''Flax version (CPU?/GPU?/TPU?)''': f"""{flax_version} ({jax_backend})""",
               '''Jax version''': f"""{jax_version}""",
               '''JaxLib version''': f"""{jaxlib_version}""",
               '''Using GPU in script?''': '''<fill in>''',
               '''Using distributed or parallel set-up in script?''': '''<fill in>''',
           }

           print('''\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'''      )
           print(self.format_dict(_lowercase      )      )

           return info







     @staticmethod
     def 							lowercase__       (						_lowercase :						Any      ):
           return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()]      ) + "\n"













"""simple docstring"""





import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

SCREAMING_SNAKE_CASE__   =  [
    "cross_validation.py",
    "gradient_accumulation.py",
    "local_sgd.py",
    "multi_process_metrics.py",
    "memory.py",
    "automatic_gradient_accumulation.py",
    "fsdp_with_peak_mem_tracking.py",
    "deepspeed_with_config_support.py",
    "megatron_lm_gpt_pretraining.py",
]

class 						lowercase   (   unittest.TestCase   ):





      def        _snake_case     (			self ,		lowercase ,		lowercase ,		lowercase = None ,		lowercase = None					)						->	Dict:
            lowerCAmelCase    		=			None
            lowerCAmelCase    		=			os.path.abspath(os.path.join("""examples""" ,		"""by_feature"""					)					)
            lowerCAmelCase    		=			os.path.abspath("""examples"""					)
            for item in os.listdir(lowercase					):
                  if item not in EXCLUDE_EXAMPLES:
                        lowerCAmelCase    		=			os.path.join(lowercase ,		lowercase					)
                        if os.path.isfile(lowercase					) and ".py" in item_path:
                              with self.subTest(
                                  tested_script=lowercase ,		feature_script=lowercase ,		tested_section="""main()""" if parser_only else """training_function()""" ,		):
                                    lowerCAmelCase    		=			compare_against_test(
                                        os.path.join(lowercase ,		lowercase					) ,		lowercase ,		lowercase ,		lowercase					)
                                    lowerCAmelCase    		=			"""\n""".join(lowercase					)
                                    if special_strings is not None:
                                          for string in special_strings:
                                                lowerCAmelCase    		=			diff.replace(lowercase ,		""""""					)
                                    self.assertEqual(lowercase ,		""""""					)





      def        _snake_case     (			self					)						->	List[Any]:
            self.one_complete_example("""complete_nlp_example.py""" ,		lowercase					)
            self.one_complete_example("""complete_nlp_example.py""" ,		lowercase					)





      def        _snake_case     (			self					)						->	Any:
            lowerCAmelCase    		=			os.path.abspath(os.path.join("""examples""" ,		"""cv_example.py"""					)					)
            lowerCAmelCase    		=			[
                """ """ * 16 + """{\n\n""",
                """ """ * 20 + """\"accuracy\": eval_metric[\"accuracy\"],\n\n""",
                """ """ * 20 + """\"f1\": eval_metric[\"f1\"],\n\n""",
                """ """ * 20 + """\"train_loss\": total_loss.item() / len(train_dataloader),\n\n""",
                """ """ * 20 + """\"epoch\": epoch,\n\n""",
                """ """ * 16 + """},\n\n""",
                """ """ * 16 + """step=epoch,\n""",
                """ """ * 12,
                """ """ * 8 + """for step, batch in enumerate(active_dataloader):\n""",
            ]
            self.one_complete_example("""complete_cv_example.py""" ,		lowercase ,		lowercase ,		lowercase					)
            self.one_complete_example("""complete_cv_example.py""" ,		lowercase ,		lowercase ,		lowercase					)







@mock.patch.dict(os.environ	,    {'TESTING_MOCKED_DATALOADERS': '1'}   )
class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = False





      @classmethod
      def        _snake_case     (			cls					)						->	Optional[int]:
            super().setUpClass()
            lowerCAmelCase    		=			tempfile.mkdtemp()
            lowerCAmelCase    		=			os.path.join(cls._tmpdir ,		"""default_config.yml"""					)

            write_basic_config(save_location=cls.configPath					)
            lowerCAmelCase    		=			["""accelerate""", """launch""", """--config_file""", cls.configPath]





      @classmethod
      def        _snake_case     (			cls					)						->	Optional[int]:
            super().tearDownClass()
            shutil.rmtree(cls._tmpdir					)





      def        _snake_case     (			self					)						->	str:
            lowerCAmelCase    		=			f'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps epoch\n        --output_dir {self.tmpdir}\n        '.split()
            run_command(self._launch_args + testargs					)
            self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,		"""epoch_0"""					)					)					)





      def        _snake_case     (			self					)						->	Optional[int]:
            lowerCAmelCase    		=			f'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '.split()
            lowerCAmelCase    		=			run_command(self._launch_args + testargs					)
            self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,		"""step_2"""					)					)					)





      def        _snake_case     (			self					)						->	List[str]:
            lowerCAmelCase    		=			f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir ,		"epoch_0"					)}\n        '.split()
            lowerCAmelCase    		=			run_command(self._launch_args + testargs ,		return_stdout=lowercase					)
            self.assertNotIn("""epoch 0:""" ,		lowercase					)
            self.assertIn("""epoch 1:""" ,		lowercase					)





      def        _snake_case     (			self					)						->	Union[str, Any]:
            lowerCAmelCase    		=			f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir ,		"step_2"					)}\n        '.split()
            lowerCAmelCase    		=			run_command(self._launch_args + testargs ,		return_stdout=lowercase					)
            if torch.cuda.is_available():
                  lowerCAmelCase    		=			torch.cuda.device_count()
            else:
                  lowerCAmelCase    		=			1
            if num_processes > 1:
                  self.assertNotIn("""epoch 0:""" ,		lowercase					)
                  self.assertIn("""epoch 1:""" ,		lowercase					)
            else:
                  self.assertIn("""epoch 0:""" ,		lowercase					)
                  self.assertIn("""epoch 1:""" ,		lowercase					)





      @slow
      def        _snake_case     (			self					)						->	Tuple:
            lowerCAmelCase    		=			"""
        examples/by_feature/cross_validation.py
        --num_folds 2
        """.split()
            with mock.patch.dict(os.environ ,		{"""TESTING_MOCKED_DATALOADERS""": """0"""}					):
                  lowerCAmelCase    		=			run_command(self._launch_args + testargs ,		return_stdout=lowercase					)
                  lowerCAmelCase    		=			re.findall("""({.+})""" ,		lowercase					)
                  lowerCAmelCase    		=			[r for r in results if """accuracy""" in r][-1]
                  lowerCAmelCase    		=			ast.literal_eval(lowercase					)
                  self.assertGreaterEqual(results["""accuracy"""] ,		0.75					)





      def        _snake_case     (			self					)						->	int:
            lowerCAmelCase    		=			["""examples/by_feature/multi_process_metrics.py"""]
            run_command(self._launch_args + testargs					)





      @require_trackers
      @mock.patch.dict(os.environ ,		{"""WANDB_MODE""": """offline"""}					)
      def        _snake_case     (			self					)						->	Any:
            with tempfile.TemporaryDirectory() as tmpdir:
                  lowerCAmelCase    		=			f'\n            examples/by_feature/tracking.py\n            --with_tracking\n            --project_dir {tmpdir}\n            '.split()
                  run_command(self._launch_args + testargs					)
                  self.assertTrue(os.path.exists(os.path.join(lowercase ,		"""tracking"""					)					)					)





      def        _snake_case     (			self					)						->	Union[str, Any]:
            lowerCAmelCase    		=			["""examples/by_feature/gradient_accumulation.py"""]
            run_command(self._launch_args + testargs					)





      def        _snake_case     (			self					)						->	int:
            lowerCAmelCase    		=			["""examples/by_feature/local_sgd.py"""]
            run_command(self._launch_args + testargs					)






